Parallel Spectral Clustering Implementation for Distributed Systems

This directory contains the complete source code implementation for the research paper "Parallel Spectral Clustering in Distributed Systems" by Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen Lin, and Edward Chang, published in IEEE Transactions on Pattern Analysis and Machine Intelligence (2010). The implementation features parallelized spectral clustering algorithms optimized for distributed computing environments, including distributed eigensolvers and matrix operations. The codebase has been validated on 64-bit Linux systems using MATLAB 7.4.0.287 (R2007a) and includes core functions for similarity matrix computation, eigenvalue decomposition, and k-means clustering in parallel settings. Users can replicate the paper's experiments through the provided MATLAB scripts, though results may show minor variations due to algorithmic stochasticity, CPU performance differences, and system load conditions. Key components include distributed data partitioning routines and parallelized numerical linear algebra operations for handling large-scale datasets.